Preview

Nanosystems: Physics, Chemistry, Mathematics

Advanced search

The effect of carbon nanotube on the structure of H–NS protein DNA complex: molecular dynamics approach

https://doi.org/10.17586/2220-8054-2019-10-6-701-710

Abstract

Most of the experimental biophysical and biochemical observations of proteins are in dilute solutions, while inside the cell is a crowded environment.The effect of crowding on the structure and activity of biomolecules is not completely clear. In this work, molecular dynamics simulation was used to study the effect of single walled carbon nanotube (SWCNT) on the H–NS protein in the presence and absence of double-stranded nucleic acid. The values of root mean square deviation (RMSD) and its distribution, radius of gyration (Rg) and its distribution and root mean square fluctuation (RMSF) were calculated. Changes in the secondary structure of the H–NS were also calculated. The contributions of each residue of H–NS in free energy of binding between H–NS and DNA were calculated. The results indicate that the SWCNT unfolds the structure of the H–NS. In terms of contribution of residues in secondary structures, in the presence of a SWCNT, the sheet secondary structure of the H–NS changes more than helices secondary structure. In the triple system, which includes H–NS, SWCNT and DNA; Ala-1, Arg-3, Lys-6, Lys-17, Arg-24, Lys-30, Lys-31, Lys-38 and Lys-46 residues have a favorable effect on the interaction of the H–NS with the DNA.

About the Authors

Najmeh Mahdavipour
Mashhad Branch, Islamic Azad University
India

Department of Chemistry

Mashhad



Mohammad Reza Bozorgmehr
Mashhad Branch, Islamic Azad University
India

Department of Chemistry

Mashhad



Mohammad Momen-Heravi
Mashhad Branch, Islamic Azad University
India

Department of Chemistry

Mashhad



References

1. Ellis R.J. Macromolecular crowding: an important but neglected aspect of the intracellular environment. Current opinion in structural biology, 2001, 11 (1), P. 114–119.

2. Miyoshi D., Sugimoto N. Molecular crowding effects on structure and stability of DNA. Biochimie, 2008, 90 (7), P. 1040–1051.

3. Srere P.A. Protein crystals as a model for mitochondrial matrix proteins. Trends in Biochemical Sciences, 1981, 6, P. 4–7.

4. Zimmerman S.B., Minton A.P. Macromolecular crowding: biochemical, biophysical, and physiological consequences. Annual review of biophysics and biomolecular structure, 1993, 22 (1), P. 27–65.

5. Ellis R.J. Macromolecular crowding: obvious but underappreciated. Trends in biochemical sciences, 2001, 26 (10), P. 597–604.

6. Doghaei A.V., Housaindokht M.R., Bozorgmehr M. Molecular crowding effects on conformation and stability of G-quadruplex DNA structure: Insights from molecular dynamics simulation. Journal of theoretical biology, 2015, 364, P. 103–112.

7. Jiao M., et al. Attractive protein-polymer interactions markedly alter the effect of macromolecular crowding on protein association equilibria. Biophysical journal, 2010, 99 (3), P. 914–923.

8. Xu M., et al. Alignment control of carbon nanotube forest from random to nearly perfectly aligned by utilizing the crowding effect. ACS Nano, 2012, 6 (7), P. 5837–5844.

9. Bianco A., Kostarelos K., Prato M. Applications of carbon nanotubes in drug delivery. Current opinion in chemical biology, 2005, 9 (6), P. 674–679.

10. Tlmaciu C.-M., Morris M.C. Carbon nanotube biosensors. Frontiers in chemistry, 2015, 3, P. 59.

11. Atlung T., Ingmer H. HNS: a modulator of environmentally regulated gene expression. Molecular microbiology, 1997, 24 (1), P. 7–17.

12. Falconl M., et al. Proteins from the prokaryotic nucleoid: primary and quaternary structure of the 15kD Escherichia coli DNA binding protein HNS. Molecular microbiology, 1988, 2 (3), P. 323–329.

13. Tupper A.E., et al. The chromatinassociated protein HNS alters DNA topology in vitro. The EMBO journal, 1994, 13 (1), P. 258–268.

14. DeLano W., The PyMOL Molecular Graphics System. DeLano Scientific; Palo Alto, CA: 2002. URL: http://www.pymol.org.

15. Price D.J., Brooks C.L. III. A modified TIP3P water potential for simulation with Ewald summation. The Journal of chemical physics, 2004, 121 (20), P. 10096–10103.

16. Van Der Spoel D., et al. GROMACS: fast, flexible, and free. Journal of computational chemistry, 2005, 26 (16), P. 1701–1718.

17. Schmidt M.W., et al. General atomic and molecular electronic structure system. Journal of computational chemistry, 1993, 14 (11), P. 1347– 1363.

18. Luenberger D.G., Ye Y. Linear and nonlinear programming, 2, 1984, Springer.

19. Essmann U., et al. A smooth particle mesh Ewald method. The Journal of chemical physics, 1995, 103 (19), P. 8577–8593.

20. Hess B., et al. LINCS: a linear constraint solver for molecular simulations. Journal of computational chemistry, 1997, 18 (12), P. 1463–1472.

21. Miyamoto S., Kollman P.A. Settle: An analytical version of the SHAKE and RATTLE algorithm for rigid water models. Journal of computational chemistry, 1992, 13 (8), P. 952–962.

22. Bussi G., Donadio D., Parrinello M. Canonical sampling through velocity rescaling. The Journal of chemical physics, 2007, 126 (1), P. 014101.

23. Ghaderi S., Bozorgmehr M.R., Morsali A. Structure study and predict the function of the diphtheria toxin in different pH levels (Acidic-BasicNatural) using molecular dynamics simulations. Entomology and Applied Science Letters, 2017, 3 (4), P. 49–56.

24. Honarparvar B., Skelton A.A. Molecular dynamics simulation and conformational analysis of some catalytically active peptides. J. Mol. Model., 2015, 21 (4), P. 100.

25. Housaindokht M.R., Bozorgmehr M.R., Monhemi H. Structural behavior of Candida antarctica lipase B in water and supercritical carbon dioxide: A molecular dynamic simulation study. The Journal of Supercritical Fluids, 2012, 63, P. 180–186.

26. Porollo A.A., Adamczak R., Meller J. POLYVIEW: a flexible visualization tool for structural and functional annotations of proteins. Bioinformatics, 2004, 20 (15), P. 2460–2462.

27. Lei H., et al. Folding free-energy landscape of villin headpiece subdomain from molecular dynamics simulations. Proceedings of the National Academy of Sciences, 2007, 104 (12), P. 4925–4930.

28. Kumari R., et al. g mmpbsa–a GROMACS tool for high-throughput MM-PBSA calculations. Journal of chemical information and modeling, 2014, 54 (7), P. 1951–1962.

29. Kollman P.A., et al. Calculating structures and free energies of complex molecules: combining molecular mechanics and continuum models. Accounts of chemical research, 2000, 33 (12), P. 889–897.

30. Nii D., et al. Selective binding of single-stranded DNA-binding proteins onto DNA molecules adsorbed on single-walled carbon nanotubes. Colloids and Surfaces B: Biointerfaces, 2014, 121, P. 325–330.


Review

For citations:


Mahdavipour N., Bozorgmehr M., Momen-Heravi M. The effect of carbon nanotube on the structure of H–NS protein DNA complex: molecular dynamics approach. Nanosystems: Physics, Chemistry, Mathematics. 2019;10(6):701-710. https://doi.org/10.17586/2220-8054-2019-10-6-701-710

Views: 10


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2220-8054 (Print)
ISSN 2305-7971 (Online)